Convolutional sparse support estimator-based COVID-19 recognition from X-ray images
Coronavirus disease (COVID-19) has been the main agenda of the whole world ever since it
came into sight. X-ray imaging is a common and easily accessible tool that has great …
came into sight. X-ray imaging is a common and easily accessible tool that has great …
False discoveries occur early on the lasso path
In regression settings where explanatory variables have very low correlations and there are
relatively few effects, each of large magnitude, we expect the Lasso to find the important …
relatively few effects, each of large magnitude, we expect the Lasso to find the important …
Energy efficient coded random access for the wireless uplink
We discuss the problem of designing channel access architectures for enabling fast, low-
latency, grant-free, and uncoordinated uplink for densely packed wireless nodes …
latency, grant-free, and uncoordinated uplink for densely packed wireless nodes …
Energy efficiency of massive random access in MIMO quasi-static Rayleigh fading channels with finite blocklength
This paper considers the massive random access problem in multiple-input multiple-output
(MIMO) quasi-static Rayleigh fading channels. Specifically, we derive achievability and …
(MIMO) quasi-static Rayleigh fading channels. Specifically, we derive achievability and …
Support recovery with sparsely sampled free random matrices
Consider a Bernoulli-Gaussian complex n-vector whose components are V i= X i B i, with X
i~ CN (0, P x) and binary B i mutually independent and iid across i. This random q-sparse …
i~ CN (0, P x) and binary B i mutually independent and iid across i. This random q-sparse …
Fundamental limits of many-user MAC with finite payloads and fading
SS Kowshik, Y Polyanskiy - IEEE Transactions on Information …, 2021 - ieeexplore.ieee.org
Consider a (multiple-access) wireless communication system where users are connected to
a unique base station over a shared-spectrum radio links. Each user has a fixed number k of …
a unique base station over a shared-spectrum radio links. Each user has a fixed number k of …
Phase transitions in group testing
J Scarlett, V Cevher - Proceedings of the twenty-seventh annual ACM-SIAM …, 2016 - SIAM
The group testing problem consists of determining a sparse subset of a set of items that are
“defective” based on a set of possibly noisy tests, and arises in areas such as medical …
“defective” based on a set of possibly noisy tests, and arises in areas such as medical …
Limits on support recovery with probabilistic models: An information-theoretic framework
J Scarlett, V Cevher - IEEE Transactions on Information Theory, 2016 - ieeexplore.ieee.org
The support recovery problem consists of determining a sparse subset of a set of variables
that is relevant in generating a set of observations, and arises in a diverse range of settings …
that is relevant in generating a set of observations, and arises in a diverse range of settings …
Advance warning methodologies for covid-19 using chest x-ray images
Coronavirus disease 2019 (COVID-19) has rapidly become a global health concern after its
first known detection in December 2019. As a result, accurate and reliable advance warning …
first known detection in December 2019. As a result, accurate and reliable advance warning …
Which bridge estimator is the best for variable selection?
Which bridge estimator is the best for variable selection? Page 1 The Annals of Statistics 2020,
Vol. 48, No. 5, 2791–2823 https://doi.org/10.1214/19-AOS1906 © Institute of Mathematical …
Vol. 48, No. 5, 2791–2823 https://doi.org/10.1214/19-AOS1906 © Institute of Mathematical …